Warehouse Operations & Analytics Co-Op – Spring 2026 (CAR-T Manufacturing)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: The Warehouse Operations & Analytics Co-Op will support critical supply chain and warehouse operations within the CAR-T manufacturing network. This role provides hands-on experience in capacity planning, inventory management, operational analytics, and process optimization within a highly regulated cell and gene therapy environment. Working closely with Warehouse Operations, Supply Chain Planning, Manufacturing, and Engineering teams, the Co-Op will leverage data analytics, Lean methodologies, and project management skills to identify opportunities for operational improvement, support strategic initiatives, and help ensure the efficient flow of materials that enable life-changing therapies to reach patients. This position offers a unique opportunity to combine data-driven decision making with real-world warehouse operations, allowing the Co-Op to develop technical, analytical, and leadership skills while contributing directly to business-critical initiatives. Key Responsibilities: Analyze warehouse and logistics data to identify trends, inventory risks, capacity constraints, and opportunities for operational improvement. Develop and maintain dashboards, automated reports, KPIs, and visual management tools to support data-driven decision making and communicate insights to leadership. Support warehouse expansion and manufacturing growth initiatives through capacity modeling, resource planning, workflow analysis, and operational readiness assessments. Conduct process mapping, time studies, and material flow analyses to optimize warehouse operations, inventory management, and material movement. Partner with Supply Chain Planning, Manufacturing, Engineering, and Warehouse Operations teams to support strategic projects and continuous improvement initiatives. Assist with inventory management activities for critical operational supplies and identify opportunities to improve inventory control processes. Lead project meetings, coordinate stakeholder communications, and drive completion of assigned deliverables. Qualifications: Education: Currently pursuing a Bachelor's degree in Supply Chain Management, Industrial Engineering, Operations Management, Business Analytics, Data Analytics, Logistics, or a related analytical discipline. Minimum Junior standing at an accredited university. Experience and Skills: Required: Experience analyzing and interpreting data using tools such as Power BI, Tableau, Excel, Power Automate, or similar analytics platforms. Strong analytical and problem-solving skills with the ability to identify trends, develop insights, and support data-driven decision making. Knowledge of statistics and quantitative analysis techniques. Strong written and verbal communication skills, with the ability to effectively present information to both technical and non-technical audiences. Demonstrated ability to manage multiple priorities, work collaboratively across teams, and operate in a fast-paced environment. Preferred: Experience with supply chain analytics, inventory management, warehouse operations, logistics planning, forecasting, or capacity modeling. Knowledge of Lean, Six Sigma, continuous improvement, process mapping, or operational excellence methodologies. Experience developing dashboards, automating reporting, or building data visualizations to support business decision making. Experience with SQL, Python, R, VBA, Power Query, or other data analytics and automation tools. Interest in biotechnology, pharmaceutical manufacturing, cell therapy, or other regulated supply chain environments. Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Microsoft Excel, Microsoft Power Automate, Microsoft Power Business Intelligence (BI), Tableau (Software) Preferred Skills: The anticipated base pay range for this position is : $23.50/hr to $52.50/hr Additional Description for Pay Transparency: The expected pay range for this position is between $23.50 per hour and $52.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for th